requests
Pandas
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requests | Pandas | |
---|---|---|
87 | 393 | |
51,359 | 41,923 | |
0.5% | 1.4% | |
8.4 | 10.0 | |
3 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
requests
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Revived the promise made six years ago for Requests 3
For many years now, Requests has been frozen. Being left in a vegetative state and not evolving, this blocked millions of developers from using more advanced features.
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Ask HN: Is Python async/await some kind of joke?
- Ubiquitous “requests” library used in most docs examples, no async support https://github.com/psf/requests
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10 Github repositories to achieve Python mastery
Explore here.
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urllib3 v2.0.0 is now generally available!
It's Lukasa (his name is Cory, there's Łukasz in PSF though, but that's a different person). Looking at him, he made significant contributions to the requests repo: https://github.com/psf/requests/graphs/contributors
- I built a chatbot that lets you talk to any Github repository
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I Could Rewrite Curl
> I'd love to see the look on some of these people's faces when they find out that tool/software/whatever they use is actually using libcurl under the hood.
Python dependencies (does not include curl)
https://devguide.python.org/getting-started/setup-building/i...
The "requests" module in Python (does not use curl)
https://github.com/psf/requests
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Development environment for the Python requests package
This part can be found in the README of the GitHub repository.
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Trying to install autoscan from https://github.com/NiNiyas/autoscan and stuck with no idea what the problem is.
Looking around for similar errors I found this issue where they recommended trying to use a newer version of the urllib3 library.
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Pain when going back to other languages
but I appreciate the fact that there is an issue about it, it's acknowledged and .. unfixable, it would now break too many things https://github.com/psf/requests/issues/2002
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How do you decide when to keep a project in a single python file vs break it up into multiple files?
The requests package has been the golden standard for package structure for as long as I can remember.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
urllib3 - urllib3 is a user-friendly HTTP client library for Python
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
httplib2 - Small, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
tensorflow - An Open Source Machine Learning Framework for Everyone
grequests - Requests + Gevent = <3
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
treq - Python requests like API built on top of Twisted's HTTP client.
Keras - Deep Learning for humans
Uplink - A Declarative HTTP Client for Python
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration